Are Semantic Representations Stable? A Bayesian Framework Applied to the Study of Quantifier Meaning.

Sarafoglou A, Giacobello ASF, Godmann HR, Johnson T, Visser I, Haaf JM, Szymanik J

DOI: 10.1007/s42113-026-00302-x
Published: 2026 Jun
Container: Computational brain & behavior
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s42113-026-00302-x,
  title = {Are Semantic Representations Stable? A Bayesian Framework Applied to the Study of Quantifier Meaning.},
  author = {Sarafoglou A and Giacobello ASF and Godmann HR and Johnson T and Visser I and Haaf JM and Szymanik J},
  year = {2026},
  journal = {Computational brain \& behavior},
  doi = {10.1007/s42113-026-00302-x},
  url = {https://doi.org/10.1007/s42113-026-00302-x}
}

RIS

TY  - JOUR
TI  - Are Semantic Representations Stable? A Bayesian Framework Applied to the Study of Quantifier Meaning.
AU  - Sarafoglou A
AU  - Giacobello ASF
AU  - Godmann HR
AU  - Johnson T
AU  - Visser I
AU  - Haaf JM
AU  - Szymanik J
PY  - 2026
JO  - Computational brain & behavior
DO  - 10.1007/s42113-026-00302-x
UR  - https://doi.org/10.1007/s42113-026-00302-x
ER  -

APA

A, S., ASF, G., HR, G., T, J., I, V., JM, H., & J, S. (2026). Are Semantic Representations Stable? A Bayesian Framework Applied to the Study of Quantifier Meaning.. Computational brain & behavior. https://doi.org/10.1007/s42113-026-00302-x

Source records

pubmed · retrieved 2026-09-25T08:52:42.258Z